Identification of neoplasm-specific signatures of miRNA interactions by employing a systems biology approach.

ABSTRACT: MicroRNAs represent major regulatory components of the disease epigenome and they constitute powerful biomarkers for the accurate diagnosis and prognosis of various diseases, including cancers. The advent of high-throughput technologies facilitated the generation of a vast amount of miRNA-cancer association data. Computational approaches have been utilized widely to effectively analyze and interpret these data towards the identification of miRNA signatures for diverse types of cancers. Herein, a novel computational workflow was applied to discover core sets of miRNA interactions for the major groups of neoplastic diseases by employing network-based methods. To this end, miRNA-cancer association data from four comprehensive publicly available resources were utilized for constructing miRNA-c

SUBMITTER: Arshinchi Bonab R 

PROVIDER: S-EPMC9536303 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature